This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 6
with difficulty 8
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 6
Difficulty: 8
Algorithm: PPO
Episode Length: 3000
Training max_steps
: 1800000
Testing max_steps
: 180000
Train & Test Scripts
Download the Environment
Evaluation results
- Crash Count on hivex-aerial-wildfire-suppressionself-reported0.010958191571990027 +/- 0.004573914836666436
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported0.18876909412210807 +/- 0.14536552612874615
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported0.9438454601913691 +/- 0.7268276219188166
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported295.6805847167969 +/- 8.689367684892192
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported295.6805847167969 +/- 8.689367684892192
- Water Drop on hivex-aerial-wildfire-suppressionself-reported0.9887655645608902 +/- 0.004140661152640941
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported0.0006430462468415499 +/- 0.0013853557027389734
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported295.6266799926758 +/- 9.439199947060839